Lead Data Architect for Microsoft Fabric Integration

1 day ago

Cochin, Kerala, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Job Title: Data Engineer _ MS Fabric

Ambitious opportunity for a skilled professional to join our team as a data engineer with expertise in Microsoft Fabric.

In this role, you will be responsible for analyzing current Power BI tenant usage patterns, workspace structure, and licensing. Your key responsibilities will include identifying and documenting inactive or redundant workspaces, defining governance structures for workspace creation, ownership, access, and lifecycle, and customizing FUAM reports and metrics for monitoring, alerting, and usage insights.

You will also integrate telemetry data into Microsoft Fabric (lakehouses, pipelines, etc.) and collaborate with data engineers on telemetry integration. Additionally, you will create reusable templates or processes for long-term workspace monitoring and governance, support communication and training for workspace owners and stakeholders, and provide technical documentation and handover plans at the end of the engagement.

To be successful in this role, you will require:

  • a degree in computer science, economics, or comparable training/professional experience, and certifications in Power Bi & Fabric;
  • 5+ years of hands-on experience with Power BI (including tenant-level administration and monitoring);
  • strong expertise in Power BI governance and lifecycle management;

We are looking for someone with proven experience working with Microsoft Fabric, particularly lakehouses, warehouses, pipelines, semantic models, experience working with or customizing the Fabric Usage and Monitoring (FUAM) toolkit or similar telemetry/monitoring frameworks, and very good experience in conceiving and developing innovative BI solutions. Advanced SQL and DAX skills are required, and experience in scripting and automation is a plus. Excellent communication and documentation skills are also essential, as well as the ability to work independently and deliver results under tight timelines.

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